In the 21st century, the information and communication technology explosion increases the
uses of digital devices for many purposes in the world of work and in formal and non-formal …

Recommender systems in e-learning domain play an important role in assisting the learners
to find useful and relevant learning materials that meet their learning needs. Personalized …

This meta-analysis synthesizes research findings on the effects of computer-supported
collaborative learning (CSCL) based on its three main elements:(1) the collaboration per …

Recommender systems have been widely applied to several domains and applications to
assist decision making by recommending items tailored to user preferences. One of the …

The field of education has never been indifferent to the new technologies, and eventually to
the Internet. Technology-Enhanced Learning, progressively, has grown to be the area for …

In recent years, the use of recommender systems has become popular on the web. To
improve recommendation performance, usage, and scalability, the research has evolved by …

Recommender systems have become one of the main tools for personalized content filtering
in the educational domain. Those who support teaching and learning activities, particularly …

With the increase in available educational data, it is expected that Learning Analytics will
become a powerful means to inform and support learners, teachers and their institutions in …

In recent years, there has been significant growth in the use of online learning resources by
learners. However, due to information overload, many learners are experiencing difficulties …

Recommender systems have been researched extensively by the Technology Enhanced
Learning (TEL) community during the last decade. By identifying suitable resources from a …